|| Md. Ziaul Hoque |

|| Dedicated Researcher and Software Developer ||

🙋‍♂️ About Me

🎓 Pursuing research majoring in machine learning and deep learning driven AI-based solutions to support personalized clinical diagnostic or therapeutic decisions.
🌱 Supervising programming exercises of three regular courses including "Machine Learning", "Computer Vision Methods for Biomedical Images" and "Biosignal Processing II" in the Faculty of ITEE, University of Oulu, Finland.
🤝 Looking to collaborate on Machine Learning, Medical Image Analysis, Artificial Intelligence and Computer Vision related projects.
⚡ Principal goal is to be an innovator in the chosen field, which will help me to gain a suitable status in the industry.
⚡ Area of Specialization: Machine Learning, Medical Image Analysis, Artificial Intelligence, Empirical Software Development, Deep Learning and Computer Vision.

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Md. Ziaul Hoque's Projects

retinex-model-based-stain-normalization

A method removing color variability to overcome heterogeneity in digital slides for comparative analysis in histopathology.

s-wmd

Code for Supervised Word Mover's Distance (SWMD)

segmentation-of-ultrasound-images

The purpose of this study is the contour extraction of a region of interest in ultrasonic images. I applied the anisotropic diffusion algorithm to preprocess images, then an active contour model using a gradient vector flow was employed. In the end, the contour of a lesion area of the ultrasonic images was extracted.

spharmfungipod

Rotation Invariant Descriptor based on

strobl2021_space_modulates_competition_at

This repository contains the code and data for our publication Strobl et al (2022). Spatial structure impacts adaptive therapy by shaping intra-tumoral competition. Commun Med 2, 46, available at: https://rdcu.be/cL5bi.